CVE-2024-45554 in Snapdragon Compute
Summary
by MITRE • 05/06/2025
Memory corruption during concurrent SSR execution due to race condition on the global maps list.
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Analysis
by VulDB Data Team • 05/06/2025
This vulnerability represents a critical memory corruption issue that occurs during simultaneous server-side rendering operations within web applications. The flaw manifests as a race condition affecting the global maps list structure, which serves as a shared data repository during concurrent execution contexts. When multiple rendering threads or processes attempt to access and modify the same global map simultaneously, the synchronization mechanisms fail to properly protect the shared resource, leading to unpredictable memory states and potential system instability.
The technical implementation of this vulnerability stems from inadequate thread safety measures in the application's rendering pipeline. During concurrent SSR execution, multiple asynchronous operations may attempt to read from or write to the global maps list without proper locking mechanisms or atomic operations. This race condition allows for simultaneous modifications that can corrupt the internal data structures of the maps, resulting in memory corruption that may manifest as heap corruption, stack overflow conditions, or arbitrary code execution opportunities. The vulnerability specifically targets the global maps list which typically stores session data, rendering context information, or shared application state that multiple concurrent requests depend upon.
The operational impact of this vulnerability extends beyond simple application instability to potentially enable remote code execution and privilege escalation attacks. An attacker who can trigger concurrent SSR operations with controlled input data may exploit this race condition to overwrite critical memory locations, inject malicious code into the application process, or manipulate the execution flow of the rendering engine. The vulnerability's severity is amplified by its potential to be leveraged in distributed denial of service attacks where multiple concurrent requests can be orchestrated to amplify the memory corruption effects. This type of vulnerability commonly falls under CWE-362 which specifically addresses race conditions, and aligns with ATT&CK technique T1059.007 for command and scripting interpreter execution through memory corruption exploitation.
Mitigation strategies should focus on implementing proper synchronization primitives around all shared data structures, particularly the global maps list. Application developers must ensure that all concurrent access to shared resources employs mutex locks, semaphores, or atomic operations to prevent simultaneous read/write operations. The implementation should include proper locking mechanisms before any access to the global maps list during SSR execution, with appropriate timeout mechanisms to prevent deadlocks. Additionally, memory safety practices such as bounds checking, stack canaries, and address space layout randomization should be implemented to reduce the attack surface. Regular code reviews focusing on thread safety and concurrent programming patterns should be conducted, with static analysis tools configured to detect potential race conditions in shared resource access. The vulnerability also necessitates proper input validation and sanitization to prevent malicious data from triggering the race condition, along with monitoring and logging mechanisms to detect anomalous concurrent access patterns that may indicate exploitation attempts.